Novel Model of Proton Exchange Membrane Fuel Cell with Predictive Control Using Hildreth Algorithm Based on Fractional-order Dynamic Model  

作　　者：Chu Kaihui Qi Zhidong Qin Hao Shan Liang 

机构地区：[1]School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China

出　　处：《China Petroleum Processing & Petrochemical Technology》2024年第3期122-135,共14页中国炼油与石油化工（英文版）

基　　金：This work was supported in part by National Natural Science Foundation of China grant No.61374153 and grant No.52377209;in part by“Postgraduate Research&Practice Innovation Program of Jiangsu Province”(grant No.SJCX23_0132).

摘　　要：Considering the multivariable and fractional-order characteristics of proton exchange membrane fuel cells(PEMFCs),a fractional-order subspace identification method(FOSIM)is proposed in this paper to establish a fractionalorder state space(FOSS)model,which can be expressed as a multivariable configuration with two inputs,hydrogenflow rate and stack current,and two outputs,cell voltage and power.Based on this model,a novel constrained optimal control law named the Hildreth model predictive control(H-MPC)strategy is created,which employs a Hildreth quadratic programming algorithm to adjust the output power of fuel cells through adaptively regulating hydrogen flow and stack current.dSPACE semi-physical simulation results demonstrate that,compared with proportional-integral-derivative and quadratic programming MPC(QP-MPC),the proposed H-MPC exhibits better tracking ability and strong robustness against variations of PEMFC power.

关 键 词：PEMFC fractional-order subspace identification method fractional-order state space H-MPC 

分 类 号：TM911.4[电气工程—电力电子与电力传动]